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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Hepatoma Res.</journal-id>
      <journal-id journal-id-type="publisher-id">HR</journal-id>
      <journal-title-group>
        <journal-title>Hepatoma Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2454-2520</issn>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/2394-5079.2026.01</article-id>
      <article-categories>
        <subj-group>
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>
		  <italic>Helicobacter pylori</italic> is associated with a higher risk of MAFLD prevalence and all-cause mortality: results from the NHANES III follow-up study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Fan</surname>
            <given-names>Qichao</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="I#">
            <sup>#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chen</surname>
            <given-names>Yachun</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="I#">
            <sup>#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Liu</surname>
            <given-names>Junjin</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gao</surname>
            <given-names>Liang</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Huang</surname>
            <given-names>Jiaofeng</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1" />
        </contrib>
      </contrib-group>
      <aff id="I1">
        <sup>1</sup>Department of Infectious Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian, China.</aff>
      <aff id="I2">
        <sup>2</sup>Department of Infectious Disease, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital of Fujian Medical University, Fuzhou 350212, Fujian, China.</aff>
      <aff id="I#">
        <sup>#</sup>These authors contributed equally to this work.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Prof. Jiaofeng Huang, Department of Infectious Disease, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian, China. E-mail: <email>huangjiaofeng@fjmu.edu.cn</email></corresp>
        <fn fn-type="other">
          <p>
            <bold>Received:</bold> 1 Jan 2026 | <bold>First Decision:</bold> 3 Apr 2026 | <bold>Revised:</bold> 17 Apr 2026 | <bold>Accepted:</bold> 7 May 2026 | <bold>Published:</bold> 4 Jun 2026</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Academic Editor:</bold> Yongbing Xiang | <bold>Copy Editor:</bold> Ting-Ting Hu | <bold>Production Editor:</bold> Ting-Ting Hu</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>4</day>
        <month>6</month>
        <year>2026</year>
      </pub-date>
      <volume>12</volume>
	  <elocation-id>24</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026. <bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>
          <bold>Aim:</bold> This study examined the relationship between <italic>Helicobacter pylori</italic> (<italic>H. pylori</italic>) and metabolic dysfunction-associated fatty liver disease (MAFLD) and concurrently evaluated their association with all-cause mortality risk.</p>
        <p>
          <bold>Methods:</bold> Data were extracted from the Third National Health and Nutrition Examination Survey, which included 5,073 participants with available <italic>H. pylori</italic> IgG serology [enzyme-linked immunosorbent assay (ELISA)] results and mortality data. Logistic regression was used to assess the relationship between <italic>H. pylori</italic> seropositivity and MAFLD risk, while Cox proportional hazards regression was used to evaluate all-cause mortality risk, with adjustment for confounders.</p>
        <p>
          <bold>Results:</bold> Among 5,073 participants, 2,394 (47.2%) tested positive for <italic>H. pylori</italic> and 1,610 (31.7%) had MAFLD; during a median follow-up of 28.8 years, 1,891 deaths occurred (overall mortality rate 37.3%). <italic>H. pylori-</italic>seropositive individuals exhibited significantly higher mortality rates than seronegative individuals (43.5% <italic>vs</italic>. 31.7%, <italic>P</italic> &lt; 0.001). Multivariate logistic regression confirmed <italic>H. pylori</italic> seropositivity as an independent risk factor for MAFLD [adjusted odds ratio (OR) = 1.282, 95% confidence interval (CI): 1.126-1.459, <italic>P</italic> &lt; 0.001]. Multivariate Cox regression revealed that <italic>H. pylori</italic> seropositivity independently increased mortality risk (adjusted HR = 1.253, 95%CI: 1.139-1.379, <italic>P</italic> &lt; 0.001), which was consistent across the MAFLD and non-MAFLD subgroups. Kaplan-Meier analysis corroborated significant survival divergence (log-rank, <italic>P</italic> &lt; 0.001).</p>
        <p>
          <bold>Conclusion:</bold> This study indicates that <italic>H. pylori</italic> seropositivity is independently associated with a higher prevalence of MAFLD and greater mortality risk in community-dwelling individuals.</p>
      </abstract>
      <kwd-group>
        <kwd>
          <italic> Helicobacter pylori</italic>
        </kwd>
        <kwd>MAFLD</kwd>
        <kwd>mortality</kwd>
        <kwd>NHANES</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>
        <italic>Helicobacter pylori</italic> (<italic>H. pylori</italic>) is a highly prevalent bacterial pathogen, affecting over 50% of the global population<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>. <italic>H. pylori</italic> infection is not only associated with a higher incidence of several gastric diseases, such as chronic gastritis, peptic ulcer disease, and gastric cancer<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup>, but also contributes to the risk of extragastric disorders<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup>. Notably, <italic>H. pylori</italic> infection has been identified as a risk factor for cardiovascular diseases (e.g., coronary heart disease, arrhythmia, and acute myocardial infarction)<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup>, hepatobiliary system tumors and gallstones<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup>, as well as cholelithiasis<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup>. The high global prevalence of <italic>H. pylori</italic> infection imposes a significant economic burden on national economies.</p>
      <p>Metabolic dysfunction-associated fatty liver disease (MAFLD), a condition redefined to emphasize metabolic risk factors, has emerged as a “silent epidemic”<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup>. The overall prevalence of MAFLD worldwide is estimated to be 32.4%<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup>, aligning with global trends projecting over 100 million cases in the U.S. by 2030<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup>. Accumulating evidence indicates that MAFLD markedly increases the risk of liver fibrosis, cirrhosis, and hepatocellular carcinoma, particularly in individuals with comorbid metabolic disorders such as insulin resistance and obesity<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup>. Moreover, MAFLD is associated with an increased incidence of extrahepatic conditions, including cardiovascular diseases<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup>, neurological disorders, and diverse malignancies beyond the liver, such as colorectal and breast cancer<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>.</p>
      <p>Recognition of the gut microbiome’s contribution to MAFLD has shifted attention toward the role of <InlineParagraph><italic>H. pylori</italic></InlineParagraph> in modulating hepatic metabolism<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup>. A systematic review and meta-analysis showed a mildly positive association between <italic>H. pylori</italic> infection and an increased incidence of MAFLD<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup>. Another single-center study indicated that <italic>H. pylori</italic> infection was associated with a higher risk of MAFLD development and progression to fibrosis<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup>. Furthermore, a Mendelian randomization study found no genetic evidence supporting a causal link between <italic>H. pylori</italic> and MAFLD, suggesting that the eradication or prevention of <InlineParagraph><italic>H. pylori</italic></InlineParagraph> infection might not confer benefits for MAFLD<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>. Therefore, the association between <italic>H. pylori</italic> infection and MAFLD remains unclear.</p>
      <p>Therefore, this study utilized the Third National Health and Nutrition Examination Survey (NHANES III) database to conduct a cross-sectional analysis to investigate the potential relationships among <italic>H. pylori</italic> seropositivity, MAFLD, and all-cause mortality risk.</p>
    </sec>
    <sec id="sec2">
      <title>METHODS</title>
      <sec id="sec2-1">
        <title>Study population</title>
        <p>NHANES III (1988-1994), a nationally representative survey coordinated by the Centers for Disease Control and Prevention’s (CDC’s) National Center for Health Statistics (NCHS), provided the data for this study. De-identified data were retrieved from the CDC’s public repository (<uri xlink:href="https://wwwn.cdc.gov/nchs/nhanes/">https://wwwn.cdc.gov/nchs/nhanes/</uri>) following the protocols for the secondary analysis of population-based health surveys. We included adult participants (age ≥ 20 years) from the NHANES III (1988-1994) with complete data on <italic>H. pylori</italic> IgG serology and hepatic ultrasonography. Participants with missing baseline anthropometric data or incomplete follow-up information in the NHANES III Linked Mortality File were excluded. Mortality outcomes through December 2019 were acquired from the National Death Index (NDI) linkage files (updated May 2022), using probabilistic matching of participant identifiers (<uri xlink:href="https://ftp.cdc.gov/pub/Health_Statistics/NCHS/datalinkage/linked_mortality/">https://ftp.cdc.gov/pub/Health_Statistics/NCHS/datalinkage/linked_mortality/</uri>). The original NHANES III protocol was approved by the NCHS Research Ethics Review Board, and written informed consent was obtained from all participants. Given that only anonymized, publicly available data were used, an individual ethics review was not required.</p>
      </sec>
      <sec id="sec2-2">
        <title>Definition</title>
        <sec id="sec2-2-1">
          <title>MAFLD</title>
          <p>Hepatic steatosis was assessed using ultrasonography as the primary radiological modality. Data from two separate ultrasound examinations obtained from the NHANES III database were combined to form a unified analytical dataset. The severity of hepatic steatosis, determined using standard ultrasonographic criteria, was categorized as normal (no fat deposition), mild, moderate, or severe. For analytical purposes, cases exhibiting mild, moderate, or severe steatosis were grouped and classified as having clinically significant hepatic steatosis. MAFLD diagnosis adhered to the criteria specified in a recent international expert consensus<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup>. This diagnostic framework mandates ultrasonographic evidence of hepatic steatosis coupled with the presence of at least one additional criterion: (1) overweight or obesity [body mass index (BMI) ≥ 25 kg/m<sup>2</sup>]; (2) type 2 diabetes mellitus; or (3), in non-obese individuals (BMI &lt; 25 kg/m<sup>2</sup>), the presence of two or more metabolic risk abnormalities. For the NHANES III, race was classified into four distinct categories: non-Hispanic White, non-Hispanic Black, Mexican American, and Other.</p>
        </sec>
        <sec id="sec2-2-2">
          <title>H. pylori antibody test</title>
          <p>Serological detection of <italic>H. pylori</italic> IgG antibodies was performed using a commercial enzyme-linked immunosorbent assay (ELISA) kit<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup>, following the manufacturer’s instructions. This ELISA is designed for qualitative detection of <italic>H. pylori</italic> IgG in human serum and has demonstrated sensitivity, specificity, and reproducibility comparable to established serological techniques<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup>.</p>
        </sec>
      </sec>
      <sec id="sec2-3">
        <title>Operational definitions</title>
        <p>Type 2 diabetes mellitus status was ascertained through three complementary approaches: self-reported physician diagnosis, current utilization of insulin or oral hypoglycemic agents, or fulfillment of biochemical thresholds [fasting plasma glucose (FPG) ≥ 7.0 mmol/L, glycosylated hemoglobin (HbA1c) ≥ 6.5%, or 2-h postprandial glucose ≥ 11.0 mmol/L]. Hypertension was characterized by meeting either of two conditions: (1) documented systolic blood pressure ≥ 140 mmHg or diastolic pressure ≥ 90 mmHg; OR (2) a prior clinical diagnosis of hypertension or active use of antihypertensive medications.</p>
      </sec>
      <sec id="sec2-4">
        <title>Laboratory assessment</title>
        <p>Standardized clinical records provided an extensive array of biochemical indices, including complete blood count parameters, C-reactive protein (CRP) levels, glucose metabolism markers (FPG and HbA1c), hepatic transaminases [alanine aminotransferase (ALT) and aspartate aminotransferase (AST)], serum lipid profiles (total cholesterol and triglycerides), and serum creatinine concentrations. All laboratory assays were performed in accordance with rigorously controlled measurement protocols.</p>
      </sec>
      <sec id="sec2-5">
        <title>Statistical analysis</title>
        <p>Categorical variables were presented as frequencies (percentages), whereas continuous variables were reported as mean values with standard deviations. Group comparisons for normally distributed variables were conducted using independent-samples <italic>t</italic>-tests, non-normally distributed parameters were analyzed using Mann-Whitney <italic>U</italic>-tests, and categorical data were assessed using Pearson’s chi-squared tests. The association between <italic>H. pylori</italic> seropositivity and MAFLD risk was investigated using logistic regression analysis. Kaplan-Meier curves were used to evaluate survival probability differences between <italic>H. pylori</italic> antibody-positive and antibody-negative groups. The relationship between <italic>H. pylori</italic> seropositivity and all-cause mortality was examined using the Cox proportional hazards regression model.</p>
        <p>To address potential multicollinearity among the variables, we first assessed pairwise collinearity using the variance inflation factor and correlation coefficients. Strong multicollinearity was detected among the following variable pairs: BMI and waist circumference; FPG and HbA1c; ALT and AST; and serum cholesterol and triglycerides. Based on this criterion, waist, HbA1c, AST, and triglycerides were selected over their collinear counterparts (BMI, FPG, ALT, serum cholesterol, respectively) for inclusion in the multivariate Cox proportional hazards regression model. A two-tailed significance threshold of <italic>P</italic> &lt; 0.05 was applied for all statistical tests. Data analyses were conducted using the R software version 4.3.3 (<uri xlink:href="http://www.r-project.org">www.r-project.org</uri>). The survival analysis was performed with the R package “survival” employing the Kaplan-Meier method.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>RESULTS</title>
      <sec id="sec3-1">
        <title>Baseline characteristics</title>
        <p>A total of 5,946 participants who completed both ultrasound examination and <italic>H. pylori</italic> antibody testing were initially screened for this study [<xref ref-type="fig" rid="fig1">Figure 1</xref>]. Following the exclusion of 413 participants lacking follow-up data and 460 with missing baseline clinical characteristics, 5,073 individuals were included in the final analytical cohort. Of these, 2,630 (51.8%) were male, with a mean age of 43.3 ± 15.9 years. Hypertension and diabetes were present in 2,378 (46.9%) and 685 (13.5%) participants, respectively. A total of 2,394 (47.2%) participants were seropositive for <italic>H. pylori</italic> antibodies. Among the population, 1,610 cases met the MAFLD diagnostic criteria, with a prevalence of 31.7%.</p>
        <fig id="fig1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>The flow chart of case selection. <italic>H. pylori</italic>: <italic>Helicobacter pylori</italic>; NHANES III: the Third National Health and Nutrition Examination Survey.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hr12001.fig.1.jpg" />
        </fig>
      </sec>
      <sec id="sec3-2">
        <title>Comparison by <italic>H. pylori</italic> serological status</title>
        <p>Based on <italic>H. pylori</italic> antibody test results, the participants were categorized as seropositive or seronegative. Comparative analysis of baseline characteristics [<xref ref-type="table" rid="t1">Table 1</xref>] revealed that the seropositive group was significantly older (46.2 ± 16.0 years <italic>vs</italic>. 40.8 ± 15.4 years; <italic>P</italic> &lt; 0.001) and had a greater percentage of male participants (55.3% <italic>vs</italic>. 48.8%; <italic>P</italic> &lt; 0.001). Furthermore, the seropositive group exhibited a higher prevalence of diabetes, hypertension, and markers of metabolic dysregulation, including elevated BMI, waist circumference, FPG, HbA1c, and serum cholesterol and triglycerides. Indicators of liver injury (ALT and AST) were also elevated more frequently in the seropositive group. Notably, the prevalence of MAFLD was significantly higher among seropositive individuals than among their seronegative counterparts (36.6% <italic>vs</italic>. 27.4%).</p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <p>Baseline demographic and clinical characteristics of the study population according to <italic>H. pylori</italic> serological status</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td rowspan="2">
                  <bold>Variables</bold>
                </td>
                <td />
                <td colspan="2">
                  <bold>
                    <italic>H. pylori</italic> antibody</bold>
                </td>
                <td rowspan="2">
                  <bold>
                    <italic>P-</italic>value</bold>
                </td>
              </tr>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Total</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Negative</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Positive</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>
                  <italic>N</italic>
                </td>
                <td>5,073</td>
                <td>2,679</td>
                <td>2,394</td>
                <td />
              </tr>
              <tr>
                <td>All-cause mortality, <italic>n</italic> (%)</td>
                <td>1,891 (37.3)</td>
                <td>849 (31.7)</td>
                <td>1,042 (43.5)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Follow-up time (years)</td>
                <td>28.8 (21.7, 29.9)</td>
                <td>29.1 (25.5, 30.1)</td>
                <td>28.6 (18.7, 29.7)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Race, <italic>n</italic> (%)</td>
                <td />
                <td />
                <td />
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>    Non-Hispanic white</td>
                <td>2,026 (39.9)</td>
                <td>1,421 (53.0)</td>
                <td>605 (25.3)</td>
                <td />
              </tr>
              <tr>
                <td>    Non-Hispanic black</td>
                <td>1,318 (26.0)</td>
                <td>592 (22.1)</td>
                <td>726 (30.3)</td>
                <td />
              </tr>
              <tr>
                <td>    Mexican-American</td>
                <td>1,545 (30.5)</td>
                <td>578 (21.6)</td>
                <td>967 (40.4)</td>
                <td />
              </tr>
              <tr>
                <td>    Other</td>
                <td>184 (3.6)</td>
                <td>88 (3.3)</td>
                <td>96 (4.0)</td>
                <td />
              </tr>
              <tr>
                <td>Male (%)</td>
                <td>2,630 (51.8)</td>
                <td>1,307 (48.8)</td>
                <td>1,323 (55.3)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Age (years)</td>
                <td>43.3 ± 15.9</td>
                <td>40.8 ± 15.4</td>
                <td>46.2 ± 16.0</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Type 2 diabetes, <italic>n</italic> (%)</td>
                <td>685 (13.5)</td>
                <td>278 (10.4)</td>
                <td>407 (17.0)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Hypertension, <italic>n</italic> (%)</td>
                <td>2,378 (46.9)</td>
                <td>1,131 (42.2)</td>
                <td>1,247 (52.1)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>BMI (kg/m<sup>2</sup>)</td>
                <td>26.8 ± 5.5</td>
                <td>26.4 ± 5.5</td>
                <td>27.3 ± 5.5</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Waist (cm)</td>
                <td>92.6 ± 14.3</td>
                <td>91.3 ± 14.6</td>
                <td>94 ± 13.8</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Platelets (× 10<sup>9</sup>/L)</td>
                <td>284.4 ± 71.0</td>
                <td>283.7 ± 69.6</td>
                <td>285.1 ± 72.6</td>
                <td>0.495</td>
              </tr>
              <tr>
                <td>CRP (mg/dL)</td>
                <td>0.2 (0.2, 0.3)</td>
                <td>0.2 (0.2, 0.3)</td>
                <td>0.2 (0.2, 0.4)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>FPG (mmol/L)</td>
                <td>5.4 ± 2.0</td>
                <td>5.2 ± 1.7</td>
                <td>5.6 ± 2.2</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>HbA1c (%)</td>
                <td>5.4 ± 1.1</td>
                <td>5.3 ± 1.0</td>
                <td>5.6 ± 1.2</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Cholesterol (mmol/L)</td>
                <td>5.3 ± 1.1</td>
                <td>5.2 ± 1.1</td>
                <td>5.4 ± 1.2</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Triglyceride (mmol/L)</td>
                <td>1.6 ± 1.4</td>
                <td>1.5 ± 1.4</td>
                <td>1.7 ± 1.3</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>AST (U/L)</td>
                <td>19 (16, 24)</td>
                <td>19 (16, 23)</td>
                <td>20 (17, 25)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>ALT (U/L)</td>
                <td>13 (10, 19)</td>
                <td>13 (10, 19)</td>
                <td>14 (10, 20)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Creatinine (μmol/L)</td>
                <td>93.7 ± 25.3</td>
                <td>92.9 ± 22.7</td>
                <td>94.7 ± 27.8</td>
                <td>0.012</td>
              </tr>
              <tr>
                <td>MAFLD</td>
                <td>1610 (31.7)</td>
                <td>733 (27.4)</td>
                <td>877 (36.6)</td>
                <td>&lt; 0.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>ALT: Alanine aminotransferase; AST: aspartate aminotransferase; BMI: body mass index; CRP: C-reactive protein; FPG: fasting plasma glucose; HbA1c: hemoglobin A1c; <italic>H. pylori</italic>: <italic>Helicobacter pylori</italic>; MAFLD: metabolic dysfunction-associated fatty liver disease.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3-3">
        <title><italic>H. pylori</italic> association with MAFLD</title>
        <p>As shown in <xref ref-type="table" rid="t2">Table 2</xref>, univariate logistic regression revealed that <italic>H. pylori</italic> seropositivity was a significant risk factor for MAFLD [unadjusted OR = 1.535, 95% confidence interval (CI): 1.363-1.729, <italic>P</italic> &lt; 0.001]. This association persisted in multivariable analyses accounting for prespecified confounders. In Model 1 (adjusted for sex, age, race, diabetes, and hypertension), the OR was 1.422 (95%CI: 1.260-1.605, <italic>P</italic> &lt; 0.001). After further adjustment for BMI, Platelets (PLT), CRP, FPG, serum cholesterol, ALT, and creatinine levels (Model 2), the OR remained significant at 1.282 (95%CI: 1.126-1.459, <italic>P</italic> &lt; 0.001). These results confirm that <italic>H. pylori</italic> seropositivity is an independent predictor of MAFLD risk.</p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <p>Logistic regression analysis of <italic>H. pylori</italic> seropositivity and MAFLD risk</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Model</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>OR (95%CI)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P-</italic>value</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Crude</td>
                <td>1.535 (1.363-1.729)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Model 1</td>
                <td>1.422 (1.260-1.605)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Model 2</td>
                <td>1.282 (1.126-1.459)</td>
                <td>&lt; 0.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>Model 1 was adjusted for sex, age, race, diabetes, and hypertension; Model 2 was adjusted for all the variables in Model 1, plus BMI, PLT, CRP, FPG, serum cholesterol, ALT, and creatinine levels. ALT: Alanine aminotransferase; BMI: body mass index; CI: confidence interval; CRP: C-reactive protein; FPG: fasting plasma glucose; <italic>H. pylori</italic>: <italic>Helicobacter pylori</italic>; MAFLD: metabolic dysfunction-associated fatty liver disease; OR: odds ratio; PLT: platelet count.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="sec3-4">
        <title>All-cause mortality grouped by <italic>H. pylori</italic> antibody</title>
        <p>With a median follow-up of 28.8 years (interquartile range: 21.7-29.9), 1,891 deaths occurred within the cohort, resulting in an overall cumulative mortality rate of 37.3%. As shown in <xref ref-type="table" rid="t1">Table 1</xref>, individuals seropositive for <italic>H. pylori</italic> had significantly higher mortality rates than seronegative individuals (43.5% <italic>vs</italic>. 31.7%, <italic>P</italic> &lt; 0.001). A significant difference in survival probability between the <italic>H. pylori</italic>-positive and negative groups was demonstrated by Kaplan-Meier analysis (log-rank <italic>P</italic> &lt; 0.001; <xref ref-type="fig" rid="fig2">Figure 2A</xref>). This survival disadvantage associated with <italic>H. pylori</italic> seropositivity became apparent within the initial ten years of follow-up and continued to increase over time. By the 30-year mark, the absolute difference in survival was 11.8% (seropositive: 56.5% <italic>vs</italic>. seronegative: 68.3%). Consistently, the Kaplan-Meier curves showed significantly greater survival probabilities in <italic>H. pylori</italic>-negative individuals, a pattern evident in both the non-MAFLD [<xref ref-type="fig" rid="fig2">Figure 2B</xref>] and MAFLD [<xref ref-type="fig" rid="fig2">Figure 2C</xref>] subgroups (log-rank <italic>P</italic> &lt; 0.001 for each).</p>
        <fig id="fig2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Kaplan-Meier analysis comparing <italic>H. pylori</italic>-seropositive and seronegative participants. (A) Total population; (B) non-MAFLD group; and (C) MAFLD group. Log-rank test <italic>P-</italic>values are shown. <italic>H. pylori</italic>: <italic>Helicobacter pylori</italic>; MAFLD: metabolic dysfunction-associated fatty liver disease.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hr12001.fig.2.jpg" />
        </fig>
      </sec>
      <sec id="sec3-5">
        <title>Cox regression analysis</title>
        <p>To assess the relationship between <italic>H. pylori</italic> seropositivity and all-cause mortality within the entire cohort, Cox proportional hazards regression analysis was conducted. The findings are presented in <xref ref-type="table" rid="t3">Table 3</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>. The initial unadjusted analysis indicated a significant association between seropositivity for <InlineParagraph><italic>H. pylori</italic></InlineParagraph> antibodies and elevated all-cause mortality risk (HR = 1.525, 95%CI: 1.393-1.670). To further investigate this potential association and account for confounding factors, two multivariable models were constructed. Model 1 was adjusted for sex, age, race, diabetes, and hypertension. Model 2 included all variables in Model 1, with additional adjustments for BMI, PLT, CRP, FPG, serum cholesterol, ALT, and creatinine levels. The positive association between <italic>H. pylori</italic> seropositivity and all-cause mortality persisted in both adjusted models (Model 1: HR = 1.236, 95%CI: 1.123-1.360, <italic>P</italic> &lt; 0.001; Model 2: HR = 1.253, 95%CI: 1.139-1.379, <italic>P</italic> &lt; 0.001). This suggests that the observed relationship is independent of the evaluated confounders. Notably, this significant association persisted in the analyses stratified by MAFLD and non-MAFLD subgroups.</p>
        <fig id="fig3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>Forest plot of estimated HRs for mortality according to <italic>H. pylori</italic> status based on Cox regression analysis. HRs: Hazard ratios; <italic>H. pylori</italic>: <italic>Helicobacter pylori</italic>; CI: confidence interval; MAFLD: metabolic dysfunction-associated fatty liver disease.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hr12001.fig.3.jpg" />
        </fig>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <p>Cox regression analysis of the association between <italic>H. pylori</italic> seropositivity and all-cause mortality</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td rowspan="2">
                  <bold>Model</bold>
                </td>
                <td colspan="2">
                  <bold>Total</bold>
                </td>
                <td colspan="2">
                  <bold>non-MAFLD</bold>
                </td>
                <td colspan="2">
                  <bold>MAFLD</bold>
                </td>
              </tr>
              <tr>
                <td style="border-bottom:1;">
                  <bold>HR (95%CI)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P</italic>-value</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>HR (95%CI)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P</italic>-value</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>HR (95%CI)</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>
                    <italic>P</italic>-value</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Crude</td>
                <td>1.525 (1.393-1.670)</td>
                <td>&lt; 0.001</td>
                <td>1.534 (1.366-1.724)</td>
                <td>&lt; 0.001</td>
                <td>1.364 (1.179-1.578)</td>
                <td>&lt; 0.001</td>
              </tr>
              <tr>
                <td>Model 1</td>
                <td>1.236 (1.123-1.360)</td>
                <td>&lt; 0.001</td>
                <td>1.224 (1.082-1.384)</td>
                <td>0.001</td>
                <td>1.245 (1.069-1.450)</td>
                <td>0.005</td>
              </tr>
              <tr>
                <td>Model 2</td>
                <td>1.253 (1.139-1.379)</td>
                <td>&lt; 0.001</td>
                <td>1.258 (1.112-1.424)</td>
                <td>&lt; 0.001</td>
                <td>1.221 (1.047-1.423)</td>
                <td>0.011</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>Model 1 was adjusted for sex, age, race, diabetes, and hypertension; Model 2 was adjusted for all the variables in Model 1, plus BMI, PLT, CRP, FPG, serum cholesterol, ALT, and creatinine levels. ALT: Alanine aminotransferase; BMI: body mass index; CI: confidence interval; CRP: C-reactive protein; FPG: fasting plasma glucose; <italic>H. pylori</italic>: <italic>Helicobacter pylori</italic>; HR: hazard ratio; MAFLD: metabolic dysfunction-associated fatty liver disease; PLT: platelet count.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>The results are presented for the total population, the non-MAFLD group, and the MAFLD group across three adjustment models: crude (unadjusted), Model 1 (adjusted for sex, age, race, diabetes, and hypertension), and Model 2 (additionally adjusted for BMI, PLT, CRP, FPG, serum cholesterol, ALT, and creatinine levels).</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>DISCUSSION</title>
      <p>The present study demonstrated a notable association between <italic>H. pylori</italic> seropositivity and MAFLD, along with an elevated risk of all-cause mortality, independent of conventional metabolic and inflammatory confounders. These findings add to the expanding body of literature connecting <italic>H. pylori</italic> to systemic health outcomes beyond its recognized involvement in gastrointestinal disorders.</p>
      <p>Our results revealed a 36.6% prevalence of MAFLD in <italic>H. pylori</italic>-seropositive individuals, significantly higher than the 27.4% prevalence observed in their seronegative counterparts. This association persisted after adjusting for metabolic factors and inflammatory markers, suggesting that <italic>H. pylori</italic> may exacerbate hepatic lipid accumulation through mechanisms independent of conventional metabolic derangements. Several meta-analyses have demonstrated that <italic>H. pylori</italic> infection is associated with an elevated risk of prevalent MAFLD, with odds ratios (OR) ranging from 1.20 to 1.27<sup>[<xref ref-type="bibr" rid="B14">14</xref>,<xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref>]</sup>. A cross-sectional study has reported a positive association between <italic>H. pylori</italic> seropositivity and triglyceride levels (OR = 1.231)<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>. In a case-control study, <italic>H. pylori</italic>-infected individuals exhibited elevated low-density lipoprotein cholesterol and reduced high-density lipoprotein cholesterol concentrations<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup>. The prevalence of <italic>H. pylori</italic> infection was significantly higher among participants with diabetes than in those without diabetes<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup>. Population-based studies have indicated that <italic>H. pylori</italic> infection may exacerbate insulin resistance, leading to elevated lipid and glucose levels and subsequently triggering metabolic abnormalities<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup>, thereby increasing the risk of MAFLD. Experimental animal studies have shown that <italic>H. pylori</italic> aggravates MAFLD progression by modulating hepatic lipid metabolism through its virulence factor, the cytotoxin-associated gene A (CagA) protein<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup>. Another study revealed dynamic alterations in the gut microbiota consistent with <italic>H. pylori</italic>-induced metabolic phenotype changes<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup>. Therefore, the mechanisms underlying <italic>H. pylori</italic>-induced metabolic disturbances remain complex and warrant further investigations to validate these preliminary findings.</p>
      <p>Even after rigorous adjustment for metabolic and inflammatory variables, <italic>H. pylori</italic> seropositivity was associated with an 11.8 percentage point higher all-cause mortality rate. This suggests that <italic>H. pylori</italic> infection poses a systemic health threat. This survival disadvantage emerged early (within 10 years) and widened over time, which is consistent with the cumulative effects of chronic inflammation and microvascular damage. Notably, the mortality gap persisted in both the MAFLD and non-MAFLD subgroups, suggesting that <InlineParagraph><italic>H. pylori-</italic></InlineParagraph>driven pathways influence mortality through multiple parallel routes. Potential mechanisms include accelerated atherosclerosis (via endothelial dysfunction or procoagulant states), enhanced oxidative stress, or synergistic interactions with comorbid conditions (e.g., diabetes and hypertension)<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup>. Our findings align with those of prior studies linking <italic>H. pylori</italic> to cardiovascular and overall mortality; however, this study uniquely highlights its relevance across metabolic strata, including non-MAFLD populations. Public health initiatives should consider integrating <italic>H. pylori</italic> screening into metabolic syndrome management protocols, particularly in regions with high prevalence.</p>
      <p>In light of the potential association between <italic>H. pylori</italic> seropositivity and increased MAFLD prevalence, researchers have begun preliminary studies to examine whether <italic>H. pylori</italic> affects MAFLD. Despite these efforts, the body of literature remains sparse, and the findings are inconclusive. Yu <italic>et al</italic>. demonstrated that the eradication of <italic>H. pylori</italic> could further ameliorate metabolic indices and reduce the degree of hepatic steatosis in patients with MAFLD<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup>. Conversely, a separate randomized, open-label clinical trial indicated that the eradication of <italic>H. pylori</italic> might not significantly influence liver fat content, liver function tests, blood lipid profiles, or insulin resistance in patients with MAFLD<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup>. Considering the practicality and cost-effectiveness of eradicating <italic>H. pylori</italic>, further research is necessary to determine whether targeted treatment can mitigate MAFLD-related complications and enhance survival.</p>
      <p>A key strength of this study is its large, population-based cohort, combined with long-term follow-up (median 28.8 years), enabling a robust assessment of temporal trends in mortality. Additionally, adjustment for multiple confounders (e.g., BMI, CRP, and lipid profiles) strengthens the validity of our conclusions. Nevertheless, several limitations should be noted. First, the observational design precludes causal inferences, and residual confounding by unmeasured factors (e.g., smoking, diet, socioeconomic status) cannot be excluded. Second, <italic>H. pylori</italic> seropositivity reflects past exposure rather than active infection, and data on eradication therapy were unavailable, limiting insights into reversibility. Third, the lack of direct measurements of liver histology or advanced fibrosis precludes detailed mechanistic conclusions. Future studies should prioritize prospective designs, incorporate <italic>H. pylori</italic> DNA detection or the <sup>13</sup>C-urea breath test to confirm active infection<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup>, and explore the mediators<sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup> (e.g., interleukin-6 and adiponectin) linking <italic>H. pylori</italic> to metabolic and hepatic outcomes.</p>
      <sec id="sec4-1">
        <title>Conclusions</title>
        <p>In summary, this population-based epidemiological follow-up study demonstrated a significant correlation between <italic>H. pylori</italic> seropositivity and an increased risk of MAFLD and all-cause mortality. These findings highlight the enduring public health impact of <italic>H. pylori</italic> as a chronic bacterial infection, indicating the need for further research to ascertain whether eradication of <italic>H. pylori</italic> could reduce the risk of MAFLD and mortality in the general population.</p>
      </sec>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Acknowledgments</title>
        <p>The Graphical Abstract was created in BioRender. Fan, Q. (2026) <uri xlink:href="https://BioRender.com/2ecggp1">https://BioRender.com/2ecggp1</uri>.</p>
      </sec>
      <sec>
        <title>Authors’ contributions</title>
        <p>Conceived the study design, supervised the project, and critically revised the manuscript for important intellectual content: Huang J</p>
        <p>Performed the statistical analysis and was responsible for manuscript preparation: Fan Q</p>
        <p>Conducted the primary data analysis and visualization: Chen Y</p>
        <p>Contributed to the clinical interpretation of the findings and assisted in the literature review: Liu J, Gao L</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Publicly available datasets were analyzed in this study. The raw data used in the article are available on the National Health and Nutrition Examination Survey website (<uri xlink:href="https://wwwn.cdc.gov/nchs/nhanes/Default.aspx">https://wwwn.cdc.gov/nchs/nhanes/Default.aspx</uri>).</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>During the preparation of this manuscript, the AI tools Gemini 3 Pro and DeepSeek-V3.2 were used solely for language editing. The tools did not influence the study design, data collection, analysis, interpretation, or the scientific content of the work. All authors take full responsibility for the accuracy, integrity, and final content of the manuscript.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>This study was supported by the Joint Funds for the Innovation of Science and Technology, Fujian Province (No. 2024Y9131).</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>Huang J is a Junior Editorial Board Member of <italic>Hepatoma Research</italic>. Huang J was not involved in any part of the editorial process for this manuscript, including reviewer selection, manuscript handling, or decision-making. The other authors declare that they have no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Consent for publication</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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